The need for civilian use of Unmanned Aerial Vehicles (UAVs) has drastically increased in recent years. Their potential applications for civilian use include door-to-door package delivery, law enforcement, first aid, and emergency services in urban areas, which put the UAVs into obstacle collision risk...

Flexible manufacturing demands automation that is both precise and adaptable. However, tasks such as screwdriving are typically automated using costly, rigid robotic cells, making this approach impractical for low-volume, high-mix production. As a scalable solution, mobile manipulators offer a flexible alternative, but achieving the required precision for screwdriving remains challenging due to localization uncertainties...

Rapid tactile processing is one of the most effective and direct strategies for robots to interact with surrounding environment. However, achieving both fast and accurate tactile recognition remains a challenge due to the inherent trade-off between sensor sensitivity and reaction time. In this study, we developed a bioinspired textured sensor array (TSA) using a circular grid arrangement, which could provide rich information on dynamic tactile processes in a self-powered manner...

Energy Management Systems (EMSs) often operate through inflexible, rule-based control systems. Model-free reinforcement learning (RL) has emerged as a promising alternative, providing adaptive and autonomous control without the need for detailed modeling. However, the complexity of operating energy systems and dynamic environmental conditions limits their practical use, with most studies relying on simulations or short-term trials that fall short of real-world deployment...